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Dehai Min
Dehai Min
Southeast University, Monash University
Verified email at student.monash.edu - Homepage
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Cited by
Year
Can ChatGPT replace traditional KBQA models? An in-depth analysis of the question answering performance of the GPT LLM family
Y Tan*, D Min*, Y Li, W Li, N Hu, Y Chen, G Qi
International Semantic Web Conference, 348-367, 2023
58*2023
An empirical study of pre-trained language models in simple knowledge graph question answering
N Hu, Y Wu, G Qi, D Min, J Chen, JZ Pan, Z Ali
World Wide Web 26 (5), 2855-2886, 2023
112023
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
D Min, N Hu, R Jin, N Lin, J Chen, Y Chen, Y Li, G Qi, Y Li, N Li, Q Wang
NAACL 2024 (Industry Track), 2024
42024
Three stream based multi-level event contrastive learning for text-video event extraction
J Li, C Zhang, M Du, D Min, Y Chen, G Qi
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
12023
HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
R Jin, Y Li, G Qi, N Hu, YF Li, J Chen, J Wang, Y Chen, D Min
arXiv preprint arXiv:2403.19723, 2024
2024
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation
Y Li, S Zhang, R Wu, X Huang, Y Chen, W Xu, G Qi, D Min
DASFAA 2024 (Industry Track), 2024
2024
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Articles 1–6